Ethics and Law of AI

Related lectures (31)

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Explores data ethics, focusing on fairness, justice, and Al systems' broader implications.

Explores global data justice, social fairness in data governance, algorithmic ethics, and the political responsibility of researchers.

Discusses student feedback, challenges in balancing laws and ethics, and the need for more critical thinking in AI ethics.

Explores the ethical challenges of AI, including data ethics, algorithm ethics, and societal impact.

Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.

Explores the ethical challenges of artificial intelligence, including explainability, security, singularity, and societal impact.

Covers the ethical implications of artificial intelligence in technology, focusing on data, algorithms, design, sustainability, and accountability.

Explores the ethical implications of AI, emphasizing transparency and accountability in its applications.

Explores the definition of intelligence in AI and humans, the role of communication and emotion, and ethical considerations in AI regulation.

Explores consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.